Intelligent Signals, Sensors and Surveillance

Objective

The objective of ISSS was to describe architectures and develop software algorithms and hardware processing elements to improve data reduction and data fusion in real-time multi-sensor systems with applications in the demanding task of monitoring critically ill patients.

The aim was to develop an analysis, diagnosis, prediction and treatment Patient Monitoring System (PMS) which would continuously adjust and update its different knowledge bases, using supervised and non-real time learning on some of the knowledge bases and unsupervised real-time learning on others.

This advanced IT system was to be capable of supporting the complex, dynamic and distributed decision-making required in monitoring all critical stages of hospital treatment, where demand varies from frequent, complex data sampling from a large number of the same kind of sensor, to heavy sampling of data from very different groups of sensors where the imaging of signals varied significantly.

Programme(s)

• FP2-ESPRIT 2 - European strategic programme (EEC) for research and development in information technologies (ESPRIT), 1987-1992

Coordinator

IBC-DANICA

Address

Egegaardsvej, 59-61
2610 Roedovre
Denmark

Participants (5)

ACADEMISCH ZIEKENHUIS ROTTERDAM

Netherlands

Address

Dr. Molewaterplein, 40
3015 GD Rotterdam

ARISTOTELES UNIVERSITY OF THESSALONIKI

Greece

Address

54006 Thessalonik

DALTEK

Sweden

Address

Forskargatan, 3761
S-781 27 Borlange

Laboratoire d'Électronique Philips

France

Address

22 Avenue Descartes
94453 Limeil-brevannes

SCAITECH A/S

Denmark

Address

Telegrafvej, 5A
2750 Ballerup